{"id":1668,"date":"2015-11-02T10:53:47","date_gmt":"2015-11-02T02:53:47","guid":{"rendered":"http:\/\/boweihe.me\/?p=1668"},"modified":"2015-11-02T10:53:47","modified_gmt":"2015-11-02T02:53:47","slug":"work-in-progressicrowd-an-adaptive-crowdsourcing-framework-%e7%ac%ac%e4%ba%8c%e9%83%a8%e5%88%86%ef%bc%9a%e7%ae%97%e6%b3%95","status":"publish","type":"post","link":"https:\/\/dayandcarrot.space\/?p=1668","title":{"rendered":"[WIP 20151111]iCrowd: An Adaptive Crowdsourcing Framework \u7b2c\u4e8c\u90e8\u5206\uff1a\u7b97\u6cd5"},"content":{"rendered":"

Fan, J., Li, G., Ooi, B. C., Tan, K. L., & Feng, J. (2015, May). iCrowd: An Adaptive Crowdsourcing Framework. InProceedings of the 2015 ACM SIGMOD International Conference on Management of Data<\/i> (pp. 1015-1030). ACM.<\/p><\/blockquote>\n

\u8f6c\u8f7d\u672c\u6587\u8bf7\u6ce8\u660e\u6765\u81eahttp:\/\/boweihe.me\/?p=1661<\/a>
\n\u7ffb\u8bba\u6587\u7ffb\u5230\u4e00\u7bc7\u65b0\u9c9c\u7684\u8d27\uff0c\u8d76\u7d27\u62ff\u51fa\u6765\u5206\u4eab\uff0c\u5982\u679c\u4e0d\u53d1\u5e16\u6211\u60f3\u662f\u6ca1\u6709\u5174\u8da3\u80fd\u7cbe\u8bfb\u5566~\u4e3a\u4e86\u7763\u4fc3\u81ea\u5df1\uff0c\u6240\u4ee5\u5c31\u5199\u4e86\u8fd9\u7bc7\u4e1c\u897f\u3002
\n\u76ee\u524d\u6765\u8bf4\u5e94\u8be5\u662f\u5206\u4e09\u4e2a\u90e8\u5206\uff1a<\/p>\n

    \n
  1. \u57fa\u672c\u601d\u8def\u53ca\u6846\u67b6<\/a><\/li>\n
  2. \u7b97\u6cd5\uff08\u52aa\u529b\u4e2d, \u672c\u7bc7\uff09<\/li>\n
  3. \u5b9e\u9a8c\uff08\u52aa\u529b\u4e2d\uff09<\/li>\n<\/ol>\n

    \u51c6\u786e\u7387\u4f30\u8ba1\uff08\u5bf9\u5e94\u7ae0\u82823\uff09<\/h1>\n

    \u57fa\u672c\u601d\u8def\u662f\u8003\u8651\u5fae\u4efb\u52a1\u4e4b\u95f4\u7684\u201c\u76f8\u4f3c\u6027\u201d\uff0c\u56e0\u4e3a\u6587\u7ae0\u7b2c6\u7ae0\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u53c2\u4e0e\u8005\u5728\u76f8\u4f3c\u9886\u57df\u7684\u51c6\u786e\u7387\u662f\u6709\u53ef\u6bd4\u6027\u7684\uff08\u5c3d\u7ba1\u9886\u57df\u5dee\u8ddd\u53d8\u5927\u4ee5\u540e\u53ef\u6bd4\u6027\u53d8\u5dee\uff09\u3002\u85c9\u6b64\uff0c\u5982\u679c\u6211\u4eec\u89c2\u5bdf\u5230\u67d0\u4e2a\u53c2\u4e0e\u8005w\u6b63\u786e\u4f5c\u7b54\u4e86\u67d0\u4e9b\u95ee\u9898\uff0c\u6211\u4eec\u53ef\u63a8\u65ad\u5979\u4e5f\u80fd\u80dc\u4efb\u76f8\u4f3c\u9886\u57df\u7684\u4e00\u4e9b\u95ee\u9898\u3002
    \n    \"111\"<\/a> \"112\"<\/a>
    \n\u6253\u4e2a\u6bd4\u65b9\uff0c\u7ed9\u5b9a\u4e00\u7ec4\u5df2\u7ecf\u5168\u5c40\u5b8c\u6210<\/em>\u7684\u5fae\u4efb\u52a1\uff0c\u5305\u62ec\u90a3\u4e9bqualification microtasks\uff08Fig4. t1<\/sub>, t2<\/sub>, t3<\/sub>\uff09\u4ee5\u53ca\u90a3\u4e9b\u5df2\u7ecf\u8fbe\u6210\u5171\u8bc6\u7684\u4efb\u52a1(t6<\/sub>, \u5728\u4efb\u52a1\u6570\u91cfk<\/em>=3\u65f6)\uff1b\u540c\u65f6\u7ed9\u5b9a\u4e00\u53c2\u4e0e\u8005w1<\/sub>\u3002\u90a3\u4e48\u6240\u8c13\u7684\u51c6\u786e\u7387\u4f30\u8ba1\u95ee\u9898\u5c31\u662f\u60f3\u8ba1\u7b97\u51fa\u53c2\u4e0e\u8005w1<\/sub>\u5bf9\u4e8e\u90a3\u4e9b\u5f85\u5206\u914d\u7ed9\u4ed6\u7684\u95ee\u9898\uff08\u5982t4<\/sub>, t7<\/sub>\uff09\u7684\u56de\u7b54\u51c6\u786e\u7387\u3002<\/p>\n

    \u57fa\u4e8e\u56fe\u7684\u4f30\u8ba1\u6a21\u578b(Graph-Based Estimation Model)<\/strong><\/h2>\n

    \u57fa\u4e8e\u56fe\u7684\u4f30\u8ba1\u6a21\u578b\uff0c\u5176\u4e3b\u8981\u601d\u8def\u5c31\u662f\u5229\u7528\u5fae\u4efb\u52a1\u5728\u56fe\u4e2d\u7684\u76f8\u4f3c\u5ea6\uff08\u8fb9\u7684\u6743\u503c\uff09\u4f30\u8ba1\u67d0\u4e9b\u95ee\u9898\u4f5c\u7b54\u7684\u51c6\u786e\u5ea6\uff1a\u5982\u679c\u5bf9\u4e8e\u67d0\u4e9b\u5df2\u7ecf\u5168\u5c40\u5b8c\u6210<\/em>\u7684\u5fae\u4efb\u52a1\u80fd\u62ff\u5230\u89c2\u6d4b\u7684\u51c6\u786e\u7387q<\/em><\/strong>w<\/sup>\uff0c\u6211\u4eec\u5c31\u80fd\u636e\u6b64\u63a8\u6d4b\u56fe\u4e2d\u76f8\u8fde\u7684\u5176\u4ed6\u5fae\u4efb\u52a1\uff08\u8282\u70b9\uff09\u7684\u51c6\u786e\u7387\u3002\u4ee5Fig.3\u4e3a\u4f8b\uff0c\u7ed9\u5b9a\u53c2\u4e0e\u8005w\u5df2\u56de\u7b54\u95ee\u9898\u7684\u51c6\u786e\u5ea6\uff0c\u6bd4\u5982\u6b63\u786e\u56de\u7b54\u4e86t2<\/sub>\uff0c\u9519\u8bef\u56de\u7b54t3<\/sub>\uff0c\u90a3\u6211\u4eec\u53ef\u4ee5\u9884\u6d4bw\u5728\u4f5c\u7b54\u4e0et2<\/sub>\u76f8\u4f3c\u7684\u95ee\u9898\uff08\u5982\u56fe\u4e2d\u7684t7<\/sub>, t8<\/sub>, t9<\/sub>\uff09\u4f1a\u6709\u76f8\u5bf9\u8f83\u9ad8\u7684\u51c6\u786e\u7387\uff0c\u800c\u4f5c\u7b54\u4e0et3<\/sub>\u7c7b\u4f3c\u95ee\u9898\uff08\u5982t10<\/sub>, t11<\/sub>, t12<\/sub>\uff09\u65f6\u51c6\u786e\u7387\u5c31\u4f1a\u76f8\u5bf9\u8f83\u4f4e\u3002
    \n\u7136\u800c\uff0c\u7167\u4e0a\u8ff0\u65b9\u6cd5\u7b97\u51fa\u8fd9\u4e48\u4e2a\u4f30\u8ba1\u503c\u662f\u4e0d\u5b9e\u9645\u7684\uff0c\u56e0\u4e3a\u4f30\u8ba1\u51fa\u7684\u51c6\u786e\u7387p<\/em><\/strong>w<\/sup>\u65e2\u8981\u4fdd\u8bc1\u6bcf\u7ec4\u76f8\u90bb\u8282\u70b9\u7b97\u51fa\u7684\u51c6\u786e\u5ea6\u7684\u5c40\u90e8\u76f8\u4f3c\u6027(local similarity)\uff0c\u53c8\u8981\u4fdd\u8bc1\u6240\u5c5e\u5b50\u56fe\u51c6\u786e\u5ea6\u7684\u5168\u5c40\u76f8\u4f3c\u6027(global similarity)\u3002\u6b64\u5916\uff0cp<\/em><\/strong>w<\/sup>\u8fd8\u8981\u548c\u89c2\u5bdf\u51c6\u786e\u7387q<\/em><\/strong>w<\/sup>\u6709\u4e00\u81f4\u6027\uff1a\u4f30\u8ba1\u51fa\u6765\u7684\u503c\u4e0d\u80fd\u548c\u89c2\u6d4b\u503c\u6709\u5f88\u5927\u504f\u5dee\u3002\u4e0b\u9762\u7ed9\u51fa\u95ee\u9898\u7684\u5f62\u5f0f\u5316\u63cf\u8ff0\u65b9\u6cd5\uff0c\u65b9\u4fbf\u8d77\u89c1\uff0c    \"113\"<\/a>
    \n    \"114\"<\/a> \"115\"<\/a>
    \n\u5f15\u74061. <\/strong>\u516c\u5f0f(2)\u7684\u89e3\u4e3a\u5982\u4e0b\u5f62\u5f0f
    \n    \"20151111144848\"<\/a>
    \n\u5f15\u74062<\/strong>. <\/strong>\u57fa\u4e8e\u516c\u5f0f\uff084\uff09\u7684\u8fed\u4ee3\u7b97\u6cd5\u80fd\u591f\u7b97\u51fa\u516c\u5f0f\uff083\uff09\u4e2d\u7684\u6700\u4f18\u89e3p*<\/strong>
    \n\u8bc1\u660e\uff1a\u89c1\u5f15\u6587[35]
    \n    \"20151111144933\"<\/a>\"20151111145807\"<\/a>
    \n\u7b97\u6cd51\u5982\u4e0b\u56fe\uff1a
    \n    \"iCrowd_algoritum1\"<\/a>
    \n <\/p>\n","protected":false},"excerpt":{"rendered":"

    Fan, J., Li, G., Ooi, B. C., Tan, K. L., & Feng, J. (2015, May). iCrowd: An Adaptive Crowdsourcing Framework. InProceedings of the 2015 ACM SIGMOD International Conference on Management of Data (pp. 1015-1030). ACM. \u8f6c\u8f7d\u672c\u6587\u8bf7\u6ce8\u660e\u6765\u81eahttp:\/\/boweihe.me\/?p=1661 \u7ffb\u8bba\u6587\u7ffb\u5230\u4e00\u7bc7\u65b0\u9c9c\u7684\u8d27\uff0c\u8d76\u7d27\u62ff\u51fa\u6765\u5206\u4eab\uff0c\u5982\u679c\u4e0d\u53d1\u5e16\u6211\u60f3\u662f\u6ca1\u6709\u5174\u8da3\u80fd\u7cbe\u8bfb\u5566~\u4e3a\u4e86\u7763\u4fc3\u81ea\u5df1\uff0c\u6240\u4ee5\u5c31\u5199\u4e86\u8fd9\u7bc7\u4e1c\u897f\u3002 \u76ee\u524d\u6765\u8bf4\u5e94\u8be5\u662f\u5206\u4e09\u4e2a\u90e8\u5206\uff1a \u57fa\u672c\u601d\u8def\u53ca\u6846\u67b6 \u7b97\u6cd5\uff08\u52aa\u529b\u4e2d, \u672c\u7bc7\uff09 \u5b9e\u9a8c\uff08\u52aa\u529b\u4e2d\uff09 \u51c6\u786e\u7387\u4f30\u8ba1\uff08\u5bf9\u5e94\u7ae0\u82823\uff09 \u57fa\u672c\u601d\u8def\u662f\u8003\u8651\u5fae\u4efb\u52a1\u4e4b\u95f4\u7684\u201c\u76f8\u4f3c\u6027\u201d\uff0c\u56e0\u4e3a\u6587\u7ae0\u7b2c6\u7ae0\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u53c2\u4e0e\u8005\u5728\u76f8\u4f3c\u9886\u57df\u7684\u51c6\u786e\u7387\u662f\u6709\u53ef\u6bd4\u6027\u7684\uff08\u5c3d\u7ba1\u9886\u57df\u5dee\u8ddd\u53d8\u5927\u4ee5\u540e\u53ef\u6bd4\u6027\u53d8\u5dee\uff09\u3002\u85c9\u6b64\uff0c\u5982\u679c\u6211\u4eec\u89c2\u5bdf\u5230\u67d0\u4e2a\u53c2\u4e0e\u8005w\u6b63\u786e\u4f5c\u7b54\u4e86\u67d0\u4e9b\u95ee\u9898\uff0c\u6211\u4eec\u53ef\u63a8\u65ad\u5979\u4e5f\u80fd\u80dc\u4efb\u76f8\u4f3c\u9886\u57df\u7684\u4e00\u4e9b\u95ee\u9898\u3002 \u6253\u4e2a\u6bd4\u65b9\uff0c\u7ed9\u5b9a\u4e00\u7ec4\u5df2\u7ecf\u5168\u5c40\u5b8c\u6210\u7684\u5fae\u4efb\u52a1\uff0c\u5305\u62ec\u90a3\u4e9bqualification microtasks\uff08Fig4. t1, t2, t3\uff09\u4ee5\u53ca\u90a3\u4e9b\u5df2\u7ecf\u8fbe\u6210\u5171\u8bc6\u7684\u4efb\u52a1(t6, \u5728\u4efb\u52a1\u6570\u91cfk=3\u65f6)\uff1b\u540c\u65f6\u7ed9\u5b9a\u4e00\u53c2\u4e0e\u8005w1\u3002\u90a3\u4e48\u6240\u8c13\u7684\u51c6\u786e\u7387\u4f30\u8ba1\u95ee\u9898\u5c31\u662f\u60f3\u8ba1\u7b97\u51fa\u53c2\u4e0e\u8005w1\u5bf9\u4e8e\u90a3\u4e9b\u5f85\u5206\u914d\u7ed9\u4ed6\u7684\u95ee\u9898\uff08\u5982t4, t7\uff09\u7684\u56de\u7b54\u51c6\u786e\u7387\u3002 \u57fa\u4e8e\u56fe\u7684\u4f30\u8ba1\u6a21\u578b(Graph-Based Estimation Model) \u57fa\u4e8e\u56fe\u7684\u4f30\u8ba1\u6a21\u578b\uff0c\u5176\u4e3b\u8981\u601d\u8def\u5c31\u662f\u5229\u7528\u5fae\u4efb\u52a1\u5728\u56fe\u4e2d\u7684\u76f8\u4f3c\u5ea6\uff08\u8fb9\u7684\u6743\u503c\uff09\u4f30\u8ba1\u67d0\u4e9b\u95ee\u9898\u4f5c\u7b54\u7684\u51c6\u786e\u5ea6\uff1a\u5982\u679c\u5bf9\u4e8e\u67d0\u4e9b\u5df2\u7ecf\u5168\u5c40\u5b8c\u6210\u7684\u5fae\u4efb\u52a1\u80fd\u62ff\u5230\u89c2\u6d4b\u7684\u51c6\u786e\u7387qw\uff0c\u6211\u4eec\u5c31\u80fd\u636e\u6b64\u63a8\u6d4b\u56fe\u4e2d\u76f8\u8fde\u7684\u5176\u4ed6\u5fae\u4efb\u52a1\uff08\u8282\u70b9\uff09\u7684\u51c6\u786e\u7387\u3002\u4ee5Fig.3\u4e3a\u4f8b\uff0c\u7ed9\u5b9a\u53c2\u4e0e\u8005w\u5df2\u56de\u7b54\u95ee\u9898\u7684\u51c6\u786e\u5ea6\uff0c\u6bd4\u5982\u6b63\u786e\u56de\u7b54\u4e86t2\uff0c\u9519\u8bef\u56de\u7b54t3\uff0c\u90a3\u6211\u4eec\u53ef\u4ee5\u9884\u6d4bw\u5728\u4f5c\u7b54\u4e0et2\u76f8\u4f3c\u7684\u95ee\u9898\uff08\u5982\u56fe\u4e2d\u7684t7, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[32,56],"class_list":["post-1668","post","type-post","status-publish","format-standard","hentry","category-study","tag-crowdsource","tag-icrowd"],"_links":{"self":[{"href":"https:\/\/dayandcarrot.space\/index.php?rest_route=\/wp\/v2\/posts\/1668","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dayandcarrot.space\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dayandcarrot.space\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dayandcarrot.space\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dayandcarrot.space\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1668"}],"version-history":[{"count":0,"href":"https:\/\/dayandcarrot.space\/index.php?rest_route=\/wp\/v2\/posts\/1668\/revisions"}],"wp:attachment":[{"href":"https:\/\/dayandcarrot.space\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1668"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dayandcarrot.space\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1668"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dayandcarrot.space\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1668"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}